cshjin / awesome-nonconvex-optimizationLinks
A collection of papers and readings for non-convex optimization
☆31Updated 6 years ago
Alternatives and similar repositories for awesome-nonconvex-optimization
Users that are interested in awesome-nonconvex-optimization are comparing it to the libraries listed below
Sorting:
- The MATLAB source code☆14Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- ☆33Updated 2 years ago
- A MATLAB software for convex quadratic semidefinite programming☆14Updated 4 years ago
- Bi-level Optimization for Advanced Deep Learning☆47Updated 3 years ago
- Benchmark for bi-level optimization solvers☆48Updated 3 months ago
- A collection of stochastic proximal gradient methods for composite non-convex problems.☆21Updated 5 years ago
- Repository for my convex optimization course.☆54Updated 4 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 5 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 6 years ago
- A generic optimization method for any integer programming problem☆92Updated 4 years ago
- [ICML 2019] A Robust Meta-Algorithm for Stochastic Optimization☆29Updated 5 years ago
- Experiments for distributed optimization algorithms☆77Updated 2 years ago
- python algorithms to solve sparse linear programming problems☆31Updated 2 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆49Updated 3 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆38Updated 6 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the p…☆20Updated last year
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- ☆11Updated 4 years ago
- ☆20Updated 7 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆77Updated 3 years ago
- MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20☆223Updated 2 years ago
- Code for the NeurIPS 2020 paper: "Federated Bayesian Optimization via Thompson Sampling"☆26Updated 4 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 2 years ago